Pandas Profiling Report

Dataset statistics

Number of variables	17
Number of observations	173659
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	19.9 MiB
Average record size in memory	120.0 B

Variable types

Numeric	8
Categorical	6
Unsupported	3

Alerts

`OrdenDeCompraID` has a high cardinality: 1472 distinct values	High cardinality
`FechaTransaccion` has a high cardinality: 2155 distinct values	High cardinality
`NombreProducto` has a high cardinality: 227 distinct values	High cardinality
`TransaccionProductoID` is highly correlated with `InvoiceID` and 1 other fields	High correlation
`ProductoID` is highly correlated with `Cantidad` and 1 other fields	High correlation
`InvoiceID` is highly correlated with `TransaccionProductoID` and 1 other fields	High correlation
`Cantidad` is highly correlated with `ProductoID` and 3 other fields	High correlation
`ValorTotal_Con_PrecioUnitario` is highly correlated with `Cantidad` and 2 other fields	High correlation
`ValorTotal_Con_PrecioRecomendado` is highly correlated with `Cantidad` and 2 other fields	High correlation
`Año` is highly correlated with `TransaccionProductoID` and 1 other fields	High correlation
`Cantidad_abs` is highly correlated with `ProductoID` and 3 other fields	High correlation
`TransaccionProductoID` is highly correlated with `InvoiceID` and 1 other fields	High correlation
`TipoTransaccionID` is highly correlated with `Cantidad` and 3 other fields	High correlation
`InvoiceID` is highly correlated with `TransaccionProductoID` and 1 other fields	High correlation
`Cantidad` is highly correlated with `TipoTransaccionID` and 3 other fields	High correlation
`ValorTotal_Con_PrecioUnitario` is highly correlated with `TipoTransaccionID` and 3 other fields	High correlation
`ValorTotal_Con_PrecioRecomendado` is highly correlated with `TipoTransaccionID` and 3 other fields	High correlation
`Año` is highly correlated with `TransaccionProductoID` and 1 other fields	High correlation
`Cantidad_abs` is highly correlated with `TipoTransaccionID` and 3 other fields	High correlation
`TransaccionProductoID` is highly correlated with `InvoiceID` and 1 other fields	High correlation
`InvoiceID` is highly correlated with `TransaccionProductoID` and 1 other fields	High correlation
`Cantidad` is highly correlated with `Cantidad_abs`	High correlation
`ValorTotal_Con_PrecioUnitario` is highly correlated with `ValorTotal_Con_PrecioRecomendado` and 1 other fields	High correlation
`ValorTotal_Con_PrecioRecomendado` is highly correlated with `ValorTotal_Con_PrecioUnitario` and 1 other fields	High correlation
`Año` is highly correlated with `TransaccionProductoID` and 1 other fields	High correlation
`Cantidad_abs` is highly correlated with `Cantidad` and 2 other fields	High correlation
`ProveedorID` is highly correlated with `TipoTransaccionID`	High correlation
`TipoTransaccionID` is highly correlated with `ProveedorID`	High correlation
`TransaccionProductoID` is highly correlated with `InvoiceID` and 1 other fields	High correlation
`TipoTransaccionID` is highly correlated with `InvoiceID` and 5 other fields	High correlation
`InvoiceID` is highly correlated with `TransaccionProductoID` and 7 other fields	High correlation
`ProveedorID` is highly correlated with `TipoTransaccionID` and 5 other fields	High correlation
`Cantidad` is highly correlated with `TipoTransaccionID` and 5 other fields	High correlation
`ValorTotal_Con_PrecioUnitario` is highly correlated with `TipoTransaccionID` and 5 other fields	High correlation
`ValorTotal_Con_PrecioRecomendado` is highly correlated with `TipoTransaccionID` and 5 other fields	High correlation
`Año` is highly correlated with `TransaccionProductoID` and 1 other fields	High correlation
`Cantidad_abs` is highly correlated with `TipoTransaccionID` and 5 other fields	High correlation
`TransaccionProductoID` is uniformly distributed	Uniform
`TransaccionProductoID` has unique values	Unique
`FechaTransaccionAjustada` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`PrecioUnitario` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`PrecioRecomendado` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`ClienteID` has 6072 (3.5%) zeros	Zeros
`InvoiceID` has 6072 (3.5%) zeros	Zeros

Reproduction

Analysis started	2024-06-17 23:18:13.054072
Analysis finished	2024-06-17 23:18:39.438385
Duration	26.38 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

TransaccionProductoID
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	173659
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	212512.8321

Minimum	89146
Maximum	336251
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	678.5 KiB

Quantile statistics

Minimum	89146
5-th percentile	101474.9
Q1	150707.5
median	212419
Q3	274254.5
95-th percentile	323926.1
Maximum	336251
Range	247105
Interquartile range (IQR)	123547

Descriptive statistics

Standard deviation	71345.47913
Coefficient of variation (CV)	0.335723158
Kurtosis	-1.199871973
Mean	212512.8321
Median Absolute Deviation (MAD)	61764
Skewness	0.003294818852
Sum	3.690476592 × 10¹⁰
Variance	5090177393
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
221111	1	< 0.1%
111704	1	< 0.1%
279685	1	< 0.1%
192618	1	< 0.1%
319310	1	< 0.1%
109812	1	< 0.1%
159838	1	< 0.1%
189996	1	< 0.1%
254469	1	< 0.1%
291210	1	< 0.1%
Other values (173649)	173649	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
89146	1	< 0.1%
89147	1	< 0.1%
89148	1	< 0.1%
89149	1	< 0.1%
89150	1	< 0.1%
89151	1	< 0.1%
89153	1	< 0.1%
89154	1	< 0.1%
89181	1	< 0.1%
89183	1	< 0.1%

Value	Count	Frequency (%)
336251	1	< 0.1%
336250	1	< 0.1%
336249	1	< 0.1%
336248	1	< 0.1%
336247	1	< 0.1%
336245	1	< 0.1%
336244	1	< 0.1%
336243	1	< 0.1%
336242	1	< 0.1%
336241	1	< 0.1%

ProductoID
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	227
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	110.6737745

Minimum	1
Maximum	227
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	678.5 KiB

Quantile statistics

Minimum	1
5-th percentile	12
Q1	56
median	110
Q3	166
95-th percentile	210
Maximum	227
Range	226
Interquartile range (IQR)	110

Descriptive statistics

Standard deviation	63.52289916
Coefficient of variation (CV)	0.5739652367
Kurtosis	-1.192928697
Mean	110.6737745
Median Absolute Deviation (MAD)	55
Skewness	0.01168125345
Sum	19219497
Variance	4035.158718
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80	1274	0.7%
95	1254	0.7%
184	1150	0.7%
86	1110	0.6%
193	1109	0.6%
77	1101	0.6%
204	1096	0.6%
78	1089	0.6%
98	1087	0.6%
214	841	0.5%
Other values (217)	162548	93.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	767	0.4%
2	790	0.5%
3	763	0.4%
4	785	0.5%
5	751	0.4%
6	758	0.4%
7	760	0.4%
8	751	0.4%
9	773	0.4%
10	782	0.5%

Value	Count	Frequency (%)
227	118	0.1%
226	151	0.1%
225	127	0.1%
224	118	0.1%
223	117	0.1%
222	149	0.1%
221	131	0.1%
220	135	0.1%
219	794	0.5%
218	749	0.4%

TipoTransaccionID
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

10	167587
11	6035
12	37

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	347318
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10
2nd row	10
3rd row	10
4th row	10
5th row	10

Common Values

Value	Count	Frequency (%)
10	167587	96.5%
11	6035	3.5%
12	37	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
10	167587	96.5%
11	6035	3.5%
12	37	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
1	179694	51.7%
0	167587	48.3%
2	37	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	347318	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	179694	51.7%
0	167587	48.3%
2	37	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	347318	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	179694	51.7%
0	167587	48.3%
2	37	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	347318	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	179694	51.7%
0	167587	48.3%
2	37	< 0.1%

ClienteID
Real number (ℝ_≥0)

ZEROS

Distinct	664
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	517.2418821

Minimum	0
Maximum	1061
Zeros	6072
Zeros (%)	3.5%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	0
5-th percentile	10
Q1	145
median	511
Q3	877
95-th percentile	1010
Maximum	1061
Range	1061
Interquartile range (IQR)	732

Descriptive statistics

Standard deviation	353.4912165
Coefficient of variation (CV)	0.6834156875
Kurtosis	-1.451732608
Mean	517.2418821
Median Absolute Deviation (MAD)	366
Skewness	-0.02666969492
Sum	89823708
Variance	124956.0401
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	6072	3.5%
980	352	0.2%
810	341	0.2%
185	337	0.2%
558	336	0.2%
149	335	0.2%
954	334	0.2%
804	333	0.2%
953	331	0.2%
118	329	0.2%
Other values (654)	164559	94.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6072	3.5%
1	295	0.2%
2	283	0.2%
3	302	0.2%
4	209	0.1%
5	286	0.2%
6	255	0.1%
7	266	0.2%
8	198	0.1%
9	275	0.2%

Value	Count	Frequency (%)
1061	29	< 0.1%
1060	15	< 0.1%
1059	30	< 0.1%
1058	50	< 0.1%
1057	55	< 0.1%
1056	45	< 0.1%
1055	78	< 0.1%
1054	84	< 0.1%
1053	71	< 0.1%
1052	92	0.1%

InvoiceID
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	51831
Distinct (%)	29.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	42972.01054

Minimum	0
Maximum	70510
Zeros	6072
Zeros (%)	3.5%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	0
5-th percentile	19484
Q1	30149
median	43565
Q3	56988
95-th percentile	67835
Maximum	70510
Range	70510
Interquartile range (IQR)	26839

Descriptive statistics

Standard deviation	16823.71872
Coefficient of variation (CV)	0.3915041094
Kurtosis	-0.3824902
Mean	42972.01054
Median Absolute Deviation (MAD)	13420
Skewness	-0.3662493315
Sum	7462476379
Variance	283037511.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	6072	3.5%
30531	5	< 0.1%
19791	5	< 0.1%
68698	5	< 0.1%
31099	5	< 0.1%
53188	5	< 0.1%
35760	5	< 0.1%
31047	5	< 0.1%
51800	5	< 0.1%
57229	5	< 0.1%
Other values (51821)	167542	96.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6072	3.5%
18681	1	< 0.1%
18682	1	< 0.1%
18683	1	< 0.1%
18684	3	< 0.1%
18685	3	< 0.1%
18686	5	< 0.1%
18687	4	< 0.1%
18688	4	< 0.1%
18689	3	< 0.1%

Value	Count	Frequency (%)
70510	5	< 0.1%
70509	5	< 0.1%
70508	5	< 0.1%
70507	3	< 0.1%
70506	4	< 0.1%
70505	3	< 0.1%
70504	3	< 0.1%
70503	5	< 0.1%
70502	2	< 0.1%
70501	3	< 0.1%

ProveedorID
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

	167624
4.0	4103
7.0	1922
1.0	10

Length

Max length	3
Median length	0
Mean length	0.104256042
Min length	0

Characters and Unicode

Total characters	18105
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

Value	Count	Frequency (%)
	167624	96.5%
4.0	4103	2.4%
7.0	1922	1.1%
1.0	10	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
4.0	4103	68.0%
7.0	1922	31.8%
1.0	10	0.2%

Most occurring characters

Value	Count	Frequency (%)
.	6035	33.3%
0	6035	33.3%
4	4103	22.7%
7	1922	10.6%
1	10	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12070	66.7%
Other Punctuation	6035	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	6035	50.0%
4	4103	34.0%
7	1922	15.9%
1	10	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	6035	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	18105	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	6035	33.3%
0	6035	33.3%
4	4103	22.7%
7	1922	10.6%
1	10	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18105	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	6035	33.3%
0	6035	33.3%
4	4103	22.7%
7	1922	10.6%
1	10	0.1%

OrdenDeCompraID
Categorical

HIGH CARDINALITY

Distinct	1472
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

	167624
1292.0	6
1299.0	6
1301.0	6
1307.0	6
Other values (1467)	6011

Length

Max length	6
Median length	0
Mean length	0.1994656194
Min length	0

Characters and Unicode

Total characters	34639
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	76 ?
Unique (%)	< 0.1%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

Value	Count	Frequency (%)
	167624	96.5%
1292.0	6	< 0.1%
1299.0	6	< 0.1%
1301.0	6	< 0.1%
1307.0	6	< 0.1%
1311.0	6	< 0.1%
1313.0	6	< 0.1%
1315.0	6	< 0.1%
1327.0	6	< 0.1%
1333.0	6	< 0.1%
Other values (1462)	5981	3.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1292.0	6	0.1%
1089.0	6	0.1%
860.0	6	0.1%
1877.0	6	0.1%
1930.0	6	0.1%
1708.0	6	0.1%
787.0	6	0.1%
1022.0	6	0.1%
1331.0	6	0.1%
1630.0	6	0.1%
Other values (1461)	5975	99.0%

Most occurring characters

Value	Count	Frequency (%)
0	7981	23.0%
.	6035	17.4%
1	5786	16.7%
6	2024	5.8%
9	2016	5.8%
8	2000	5.8%
2	1954	5.6%
7	1954	5.6%
4	1652	4.8%
3	1620	4.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	28604	82.6%
Other Punctuation	6035	17.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	7981	27.9%
1	5786	20.2%
6	2024	7.1%
9	2016	7.0%
8	2000	7.0%
2	1954	6.8%
7	1954	6.8%
4	1652	5.8%
3	1620	5.7%
5	1617	5.7%

Other Punctuation

Value	Count	Frequency (%)
.	6035	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	34639	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	7981	23.0%
.	6035	17.4%
1	5786	16.7%
6	2024	5.8%
9	2016	5.8%
8	2000	5.8%
2	1954	5.6%
7	1954	5.6%
4	1652	4.8%
3	1620	4.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34639	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	7981	23.0%
.	6035	17.4%
1	5786	16.7%
6	2024	5.8%
9	2016	5.8%
8	2000	5.8%
2	1954	5.6%
7	1954	5.6%
4	1652	4.8%
3	1620	4.7%

FechaTransaccion
Categorical

HIGH CARDINALITY

Distinct	2155
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

2015-01-21 12:00:00.0000000	256
2016-05-04 12:00:00.0000000	254
2016-03-23 12:00:00.0000000	249
2015-11-03 12:00:00.0000000	247
2015-04-14 12:00:00.0000000	247
Other values (2150)	172406

Length

Max length	27
Median length	27
Mean length	21.07998434
Min length	11

Characters and Unicode

Total characters	3660729
Distinct characters	37
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	Apr 30,2015
2nd row	Apr 13,2015
3rd row	May 13,2016
4th row	Apr 02,2015
5th row	Apr 01,2015

Common Values

Value	Count	Frequency (%)
2015-01-21 12:00:00.0000000	256	0.1%
2016-05-04 12:00:00.0000000	254	0.1%
2016-03-23 12:00:00.0000000	249	0.1%
2015-11-03 12:00:00.0000000	247	0.1%
2015-04-14 12:00:00.0000000	247	0.1%
2015-10-06 12:00:00.0000000	246	0.1%
2015-10-19 12:00:00.0000000	246	0.1%
2015-11-24 12:00:00.0000000	245	0.1%
2016-05-19 12:00:00.0000000	241	0.1%
2015-02-27 12:00:00.0000000	241	0.1%
Other values (2145)	171187	98.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
12:00:00.0000000	105572	30.4%
may	6952	2.0%
apr	6923	2.0%
jan	6714	1.9%
mar	6450	1.9%
feb	5761	1.7%
jul	5105	1.5%
oct	4726	1.4%
jun	4649	1.3%
dec	4601	1.3%
Other values (856)	189865	54.7%

Most occurring characters

Value	Count	Frequency (%)
0	1542681	42.1%
1	397130	10.8%
2	371414	10.1%
-	218810	6.0%
:	218810	6.0%
	173659	4.7%
.	109405	3.0%
5	103606	2.8%
4	97684	2.7%
,	64254	1.8%
Other values (27)	363276	9.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2683029	73.3%
Other Punctuation	392469	10.7%
Dash Punctuation	218810	6.0%
Space Separator	173659	4.7%
Lowercase Letter	128508	3.5%
Uppercase Letter	64254	1.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	20116	15.7%
e	14719	11.5%
u	13717	10.7%
r	13373	10.4%
n	11363	8.8%
p	11280	8.8%
c	9327	7.3%
y	6952	5.4%
b	5761	4.5%
l	5105	4.0%
Other values (4)	16795	13.1%

Decimal Number

Value	Count	Frequency (%)
0	1542681	57.5%
1	397130	14.8%
2	371414	13.8%
5	103606	3.9%
4	97684	3.6%
6	55130	2.1%
3	38051	1.4%
7	28216	1.1%
9	25214	0.9%
8	23903	0.9%

Uppercase Letter

Value	Count	Frequency (%)
J	16468	25.6%
M	13402	20.9%
A	10886	16.9%
F	5761	9.0%
O	4726	7.4%
D	4601	7.2%
S	4357	6.8%
N	4053	6.3%

Other Punctuation

Value	Count	Frequency (%)
:	218810	55.8%
.	109405	27.9%
,	64254	16.4%

Dash Punctuation

Value	Count	Frequency (%)
-	218810	100.0%

Space Separator

Value	Count	Frequency (%)
	173659	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3467967	94.7%
Latin	192762	5.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	20116	10.4%
J	16468	8.5%
e	14719	7.6%
u	13717	7.1%
M	13402	7.0%
r	13373	6.9%
n	11363	5.9%
p	11280	5.9%
A	10886	5.6%
c	9327	4.8%
Other values (12)	58111	30.1%

Common

Value	Count	Frequency (%)
0	1542681	44.5%
1	397130	11.5%
2	371414	10.7%
-	218810	6.3%
:	218810	6.3%
	173659	5.0%
.	109405	3.2%
5	103606	3.0%
4	97684	2.8%
,	64254	1.9%
Other values (5)	170514	4.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3660729	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1542681	42.1%
1	397130	10.8%
2	371414	10.1%
-	218810	6.0%
:	218810	6.0%
	173659	4.7%
.	109405	3.0%
5	103606	2.8%
4	97684	2.7%
,	64254	1.8%
Other values (27)	363276	9.9%

Cantidad
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3383
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	716.7980813

Minimum	-360
Maximum	67368
Zeros	4
Zeros (%)	< 0.1%
Negative	167606
Negative (%)	96.5%
Memory size	1.3 MiB

Quantile statistics

Minimum	-360
5-th percentile	-150
Q1	-60
median	-9
Q3	-5
95-th percentile	-1
Maximum	67368
Range	67728
Interquartile range (IQR)	55

Descriptive statistics

Standard deviation	4718.727053
Coefficient of variation (CV)	6.583063176
Kurtosis	61.82103881
Mean	716.7980813
Median Absolute Deviation (MAD)	7
Skewness	7.409037017
Sum	124478438
Variance	22266385.01
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-10	11555	6.7%
-5	9456	5.4%
-8	9426	5.4%
-2	9388	5.4%
-7	9333	5.4%
-1	9299	5.4%
-3	9184	5.3%
-6	9152	5.3%
-4	9073	5.2%
-9	9051	5.2%
Other values (3373)	78742	45.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-360	143	0.1%
-324	159	0.1%
-288	141	0.1%
-260	95	0.1%
-252	154	0.1%
-250	878	0.5%
-240	794	0.5%
-234	73	< 0.1%
-225	884	0.5%
-216	908	0.5%

Value	Count	Frequency (%)
67368	1	< 0.1%
67272	1	< 0.1%
67200	1	< 0.1%
66840	1	< 0.1%
66744	1	< 0.1%
66696	1	< 0.1%
66480	1	< 0.1%
66288	1	< 0.1%
65904	1	< 0.1%
65760	1	< 0.1%

FechaTransaccionAjustada
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

NombreProducto
Categorical

HIGH CARDINALITY

Distinct	227
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

"The Gu" red shirt XML tag t-shirt (White) M	1274
"The Gu" red shirt XML tag t-shirt (Black) XL	1254
Shipping carton (Brown) 305x305x305mm	1150
"The Gu" red shirt XML tag t-shirt (White) 5XL	1110
Black and orange glass with care despatch tape 48mmx75m	1109
Other values (222)	167762

Length

Max length	85
Median length	63
Mean length	41.89720084
Min length	20

Characters and Unicode

Total characters	7275826
Distinct characters	72
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Halloween skull mask (Gray) L
2nd row	Halloween skull mask (Gray) L
3rd row	Halloween skull mask (Gray) L
4th row	Halloween skull mask (Gray) L
5th row	Halloween skull mask (Gray) L

Common Values

Value	Count	Frequency (%)
"The Gu" red shirt XML tag t-shirt (White) M	1274	0.7%
"The Gu" red shirt XML tag t-shirt (Black) XL	1254	0.7%
Shipping carton (Brown) 305x305x305mm	1150	0.7%
"The Gu" red shirt XML tag t-shirt (White) 5XL	1110	0.6%
Black and orange glass with care despatch tape 48mmx75m	1109	0.6%
"The Gu" red shirt XML tag t-shirt (White) XXS	1101	0.6%
Tape dispenser (Red)	1096	0.6%
"The Gu" red shirt XML tag t-shirt (White) XS	1089	0.6%
"The Gu" red shirt XML tag t-shirt (Black) 4XL	1087	0.6%
Air cushion film 200mmx200mm 325m	841	0.5%
Other values (217)	162548	93.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
black	50705	3.9%
	43584	3.4%
white	34345	2.7%
mug	34265	2.6%
joke	32698	2.5%
red	30338	2.3%
the	27022	2.1%
gu	22368	1.7%
shirt	22368	1.7%
xml	22368	1.7%
Other values (279)	975583	75.3%

Most occurring characters

Value	Count	Frequency (%)
	1128028	15.5%
e	603207	8.3%
a	371593	5.1%
r	356443	4.9%
t	338855	4.7%
i	323671	4.4%
o	285872	3.9%
l	262299	3.6%
s	233027	3.2%
m	215519	3.0%
Other values (62)	3157312	43.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4788417	65.8%
Space Separator	1128028	15.5%
Uppercase Letter	605649	8.3%
Decimal Number	323713	4.4%
Close Punctuation	141413	1.9%
Open Punctuation	141413	1.9%
Dash Punctuation	72284	1.0%
Other Punctuation	70299	1.0%
Math Symbol	4610	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	603207	12.6%
a	371593	7.8%
r	356443	7.4%
t	338855	7.1%
i	323671	6.8%
o	285872	6.0%
l	262299	5.5%
s	233027	4.9%
m	215519	4.5%
h	214532	4.5%
Other values (16)	1583399	33.1%

Uppercase Letter

Value	Count	Frequency (%)
B	111310	18.4%
L	68869	11.4%
X	61472	10.1%
S	46488	7.7%
D	42767	7.1%
G	37945	6.3%
M	33740	5.6%
A	33512	5.5%
W	32841	5.4%
T	31177	5.1%
Other values (12)	105528	17.4%

Decimal Number

Value	Count	Frequency (%)
0	79618	24.6%
1	56059	17.3%
2	47409	14.6%
5	46209	14.3%
3	26749	8.3%
4	21400	6.6%
7	15854	4.9%
8	15703	4.9%
9	10800	3.3%
6	3912	1.2%

Other Punctuation

Value	Count	Frequency (%)
"	44736	63.6%
/	13942	19.8%
,	3142	4.5%
.	2297	3.3%
'	1583	2.3%
?	1550	2.2%
:	1539	2.2%
…	1510	2.1%

Math Symbol

Value	Count	Frequency (%)
+	3084	66.9%
=	1526	33.1%

Space Separator

Value	Count	Frequency (%)
	1128028	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	141413	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	141413	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	72284	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5394066	74.1%
Common	1881760	25.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	603207	11.2%
a	371593	6.9%
r	356443	6.6%
t	338855	6.3%
i	323671	6.0%
o	285872	5.3%
l	262299	4.9%
s	233027	4.3%
m	215519	4.0%
h	214532	4.0%
Other values (38)	2189048	40.6%

Common

Value	Count	Frequency (%)
	1128028	59.9%
)	141413	7.5%
(	141413	7.5%
0	79618	4.2%
-	72284	3.8%
1	56059	3.0%
2	47409	2.5%
5	46209	2.5%
"	44736	2.4%
3	26749	1.4%
Other values (14)	97842	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7274316	> 99.9%
Punctuation	1510	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1128028	15.5%
e	603207	8.3%
a	371593	5.1%
r	356443	4.9%
t	338855	4.7%
i	323671	4.4%
o	285872	3.9%
l	262299	3.6%
s	233027	3.2%
m	215519	3.0%
Other values (61)	3155802	43.4%

Punctuation

Value	Count	Frequency (%)
…	1510	100.0%

PrecioUnitario
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

PrecioRecomendado
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

ValorTotal_Con_PrecioUnitario
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3826
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12390.09444

Minimum	0
Maximum	1038400
Zeros	4
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	0
5-th percentile	30
Q1	100
median	250
Q3	1050
95-th percentile	5600
Maximum	1038400
Range	1038400
Interquartile range (IQR)	950

Descriptive statistics

Standard deviation	75509.20657
Coefficient of variation (CV)	6.094320501
Kurtosis	65.01696815
Mean	12390.09444
Median Absolute Deviation (MAD)	190
Skewness	7.702427882
Sum	2151651411
Variance	5701640277
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
864	3615	2.1%
91	3443	2.0%
288	3437	2.0%
13	3364	1.9%
26	3328	1.9%
104	3326	1.9%
39	3285	1.9%
65	3269	1.9%
96	3243	1.9%
78	3240	1.9%
Other values (3816)	140109	80.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4	< 0.1%
1	1	< 0.1%
3	1	< 0.1%
8	1	< 0.1%
10	156	0.1%
13	3364	1.9%
16	222	0.1%
20	152	0.1%
25	1379	0.8%
26	3328	1.9%

Value	Count	Frequency (%)
1038400	1	< 0.1%
1035840	1	< 0.1%
1035200	1	< 0.1%
1031680	1	< 0.1%
1031040	2	< 0.1%
1030720	1	< 0.1%
1027520	1	< 0.1%
1022080	1	< 0.1%
1021440	1	< 0.1%
1020800	1	< 0.1%

ValorTotal_Con_PrecioRecomendado
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3918
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18512.78642

Minimum	0
Maximum	1557600
Zeros	4
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	0
5-th percentile	45
Q1	148
median	375
Q3	1548
95-th percentile	8350
Maximum	1557600
Range	1557600
Interquartile range (IQR)	1400

Descriptive statistics

Standard deviation	113183.9247
Coefficient of variation (CV)	6.113824364
Kurtosis	65.22266078
Mean	18512.78642
Median Absolute Deviation (MAD)	285
Skewness	7.717590752
Sum	3214911977
Variance	1.28106008 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1296	3509	2.0%
144	3492	2.0%
133	3443	2.0%
432	3426	2.0%
288	3367	1.9%
19	3364	1.9%
38	3328	1.9%
152	3326	1.9%
57	3285	1.9%
95	3269	1.9%
Other values (3908)	139850	80.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4	< 0.1%
2	1	< 0.1%
4	1	< 0.1%
12	1	< 0.1%
15	84	< 0.1%
19	3364	1.9%
20	72	< 0.1%
24	222	0.1%
25	137	0.1%
30	85	< 0.1%

Value	Count	Frequency (%)
1557600	1	< 0.1%
1553760	1	< 0.1%
1552800	1	< 0.1%
1547520	1	< 0.1%
1546560	2	< 0.1%
1546080	1	< 0.1%
1541280	1	< 0.1%
1533120	1	< 0.1%
1532160	1	< 0.1%
1531200	1	< 0.1%

Año
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

2015	74451
2014	68386
2016	30524
2013	298

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	694636
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2015
2nd row	2015
3rd row	2016
4th row	2015
5th row	2015

Common Values

Value	Count	Frequency (%)
2015	74451	42.9%
2014	68386	39.4%
2016	30524	17.6%
2013	298	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2015	74451	42.9%
2014	68386	39.4%
2016	30524	17.6%
2013	298	0.2%

Most occurring characters

Value	Count	Frequency (%)
2	173659	25.0%
0	173659	25.0%
1	173659	25.0%
5	74451	10.7%
4	68386	9.8%
6	30524	4.4%
3	298	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	694636	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	173659	25.0%
0	173659	25.0%
1	173659	25.0%
5	74451	10.7%
4	68386	9.8%
6	30524	4.4%
3	298	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	694636	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	173659	25.0%
0	173659	25.0%
1	173659	25.0%
5	74451	10.7%
4	68386	9.8%
6	30524	4.4%
3	298	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	694636	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	173659	25.0%
0	173659	25.0%
1	173659	25.0%
5	74451	10.7%
4	68386	9.8%
6	30524	4.4%
3	298	< 0.1%

Cantidad_abs
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3341
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	792.353912

Minimum	0
Maximum	67368
Zeros	4
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	5
median	10
Q3	70
95-th percentile	225
Maximum	67368
Range	67368
Interquartile range (IQR)	65

Descriptive statistics

Standard deviation	4706.629273
Coefficient of variation (CV)	5.940059363
Kurtosis	62.01186818
Mean	792.353912
Median Absolute Deviation (MAD)	8
Skewness	7.419282739
Sum	137599388
Variance	22152359.12
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	11559	6.7%
5	9456	5.4%
8	9426	5.4%
2	9391	5.4%
7	9333	5.4%
1	9301	5.4%
3	9189	5.3%
6	9152	5.3%
4	9077	5.2%
9	9051	5.2%
Other values (3331)	78724	45.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4	< 0.1%
1	9301	5.4%
2	9391	5.4%
3	9189	5.3%
4	9077	5.2%
5	9456	5.4%
6	9152	5.3%
7	9333	5.4%
8	9426	5.4%
9	9051	5.2%

Value	Count	Frequency (%)
67368	1	< 0.1%
67272	1	< 0.1%
67200	1	< 0.1%
66840	1	< 0.1%
66744	1	< 0.1%
66696	1	< 0.1%
66480	1	< 0.1%
66288	1	< 0.1%
65904	1	< 0.1%
65760	1	< 0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	TransaccionProductoID	ProductoID	TipoTransaccionID	ClienteID	InvoiceID	FechaTransaccion	Cantidad	FechaTransaccionAjustada	NombreProducto	PrecioUnitario	PrecioRecomendado	ValorTotal_Con_PrecioUnitario	ValorTotal_Con_PrecioRecomendado	Año	Cantidad_abs
0	221111	148	10	13.0	46305.0	Apr 30,2015	-96.0	2015-04-30	Halloween skull mask (Gray) L	18	27	1728.0	2592.0	2015	96.0
1	215349	148	10	562.0	45092.0	Apr 13,2015	-96.0	2015-04-13	Halloween skull mask (Gray) L	18	27	1728.0	2592.0	2015	96.0
2	330727	148	10	1048.0	69359.0	May 13,2016	-24.0	2016-05-13	Halloween skull mask (Gray) L	18	27	432.0	648.0	2016	24.0
3	212115	148	10	826.0	44413.0	Apr 02,2015	-12.0	2015-04-02	Halloween skull mask (Gray) L	18	27	216.0	324.0	2015	12.0
4	211641	148	10	841.0	44310.0	Apr 01,2015	-72.0	2015-04-01	Halloween skull mask (Gray) L	18	27	1296.0	1944.0	2015	72.0
5	103218	148	10	952.0	21631.0	Feb 22,2014	-72.0	2014-02-22	Halloween skull mask (Gray) L	18	27	1296.0	1944.0	2014	72.0
6	231596	148	10	591.0	48500.0	Jun 04,2015	-84.0	2015-06-04	Halloween skull mask (Gray) L	18	27	1512.0	2268.0	2015	84.0
7	202123	148	10	528.0	42324.0	Feb 26,2015	-12.0	2015-02-26	Halloween skull mask (Gray) L	18	27	216.0	324.0	2015	12.0
8	99371	148	10	461.0	20817.0	Feb 07,2014	-108.0	2014-02-07	Halloween skull mask (Gray) L	18	27	1944.0	2916.0	2014	108.0
9	214833	148	10	127.0	44986.0	Apr 10,2015	-108.0	2015-04-10	Halloween skull mask (Gray) L	18	27	1944.0	2916.0	2015	108.0

Last rows

	TransaccionProductoID	ProductoID	TipoTransaccionID	ClienteID	InvoiceID	FechaTransaccion	Cantidad	FechaTransaccionAjustada	NombreProducto	PrecioUnitario	PrecioRecomendado	ValorTotal_Con_PrecioUnitario	ValorTotal_Con_PrecioRecomendado	Año	Cantidad_abs
173649	253439	89	10	157.0	53094.0	2015-08-17 12:00:00.0000000	-108.0	2015-08-17	"The Gu" red shirt XML tag t-shirt (Black) 3XS	18	27	1944.0	2916.0	2015	108.0
173650	280884	89	10	85.0	58853.0	2015-11-19 12:00:00.0000000	-108.0	2015-11-19	"The Gu" red shirt XML tag t-shirt (Black) 3XS	18	27	1944.0	2916.0	2015	108.0
173651	333369	89	10	402.0	69897.0	2016-05-21 12:00:00.0000000	-108.0	2016-05-21	"The Gu" red shirt XML tag t-shirt (Black) 3XS	18	27	1944.0	2916.0	2016	108.0
173652	234969	89	10	439.0	49195.0	2015-06-16 12:00:00.0000000	-108.0	2015-06-16	"The Gu" red shirt XML tag t-shirt (Black) 3XS	18	27	1944.0	2916.0	2015	108.0
173653	181883	89	10	949.0	38078.0	2014-12-16 12:00:00.0000000	-108.0	2014-12-16	"The Gu" red shirt XML tag t-shirt (Black) 3XS	18	27	1944.0	2916.0	2014	108.0
173654	116140	89	10	73.0	24308.0	2014-04-16 12:00:00.0000000	-108.0	2014-04-16	"The Gu" red shirt XML tag t-shirt (Black) 3XS	18	27	1944.0	2916.0	2014	108.0
173655	264095	89	10	845.0	55349.0	2015-09-23 12:00:00.0000000	-108.0	2015-09-23	"The Gu" red shirt XML tag t-shirt (Black) 3XS	18	27	1944.0	2916.0	2015	108.0
173656	107529	89	10	542.0	22518.0	2014-03-12 12:00:00.0000000	-108.0	2014-03-12	"The Gu" red shirt XML tag t-shirt (Black) 3XS	18	27	1944.0	2916.0	2014	108.0
173657	123617	89	10	945.0	25882.0	2014-05-13 12:00:00.0000000	-108.0	2014-05-13	"The Gu" red shirt XML tag t-shirt (Black) 3XS	18	27	1944.0	2916.0	2014	108.0
173658	290446	89	10	459.0	60854.0	2015-12-24 12:00:00.0000000	-108.0	2015-12-24	"The Gu" red shirt XML tag t-shirt (Black) 3XS	18	27	1944.0	2916.0	2015	108.0

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Other Punctuation

Dash Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Math Symbol

Space Separator

Close Punctuation

Open Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block